Dynamic Pricing for Airline Ancillaries with Customer Context. - Naman Shukla; Arinbjörn Kolbeinsson; Ken Otwell; Lavanya Marla; Kartik Yellepeddi (KDD, 2019)

Stochastically Rank-Regularized Tensor Regression Networks. - Arinbjörn Kolbeinsson; Jean Kossaifi; Yannis Panagakis; Anima Anandkumar; Ioanna Tzoulaki; Paul M. Matthews (CoRR, 2019)

Adaptive Model Selection Framework: An Application to Airline Pricing. - Naman Shukla; Arinbjörn Kolbeinsson; Lavanya Marla; Kartik Yellepeddi (CoRR, 2019)

Biologically inspired architectures for sample-efficient deep reinforcement learning. - Pierre H. Richemond; Arinbjörn Kolbeinsson; Yike Guo (CoRR, 2019)

Patch-Based Brain Age Estimation from MR Images. - Kyriaki-Margarita Bintsi; Vasileios Baltatzis; Arinbjörn Kolbeinsson; Alexander Hammers; Daniel Rueckert (MLCN/RNO-AI@MICCAI, 2020)

GENNI: Visualising the Geometry of Equivalences for Neural Network Identifiability. - Daniel Lengyel; Janith C. Petangoda; Isak Falk; Kate Highnam; Michalis Lazarou; Arinbjörn Kolbeinsson; Marc Peter Deisenroth; Nicholas R. Jennings (CoRR, 2020)

Tensor Regression Networks. - Jean Kossaifi; Zachary C. Lipton; Arinbjörn Kolbeinsson; Aran Khanna; Tommaso Furlanello; Anima Anandkumar (J. Mach. Learn. Res., 2020)

PenDer: Incorporating Shape Constraints via Penalized Derivatives. - Akhil Gupta; Lavanya Marla; Ruoyu Sun 001; Naman Shukla; Arinbjörn Kolbeinsson (AAAI, 2021)

Self-supervision of wearable sensors time-series data for influenza detection. - Arinbjörn Kolbeinsson; Piyusha Gade; Raghu Kainkaryam; Filip Jankovic; Luca Foschini 002 (CoRR, 2021)

Tensor Dropout for Robust Learning. - Arinbjörn Kolbeinsson; Jean Kossaifi; Yannis Panagakis; Adrian Bulat; Animashree Anandkumar; Ioanna Tzoulaki; Paul M. Matthews (IEEE J. Sel. Top. Signal Process., 2021)

Deep Contrastive Anomaly Detection for Airline Ancillaries Prediction. - Pu Yang; Arinbjörn Kolbeinsson; Naman Shukla; Javier A. Barria (ICMLA, 2022)

Galactic Air Improves Ancillary Revenues with Dynamic Personalized Pricing. - Arinbjörn Kolbeinsson; Naman Shukla; Akhil Gupta; Lavanya Marla; Kartik Yellepeddi (INFORMS J. Appl. Anal., 2022)

Homekit2020: A Benchmark for Time Series Classification on a Large Mobile Sensing Dataset with Laboratory Tested Ground Truth of Influenza Infections. - Mike A. Merrill; Esteban Safranchik; Arinbjörn Kolbeinsson; Piyusha Gade; Ernesto Ramirez; Ludwig Schmidt; Luca Foshchini; Tim Althoff (CHIL, 2023)

STASIS: Reinforcement Learning Simulators for Human-Centric Real-World Environments. - Georgios Efstathiadis; Patrick Emedom-Nnamdi; Arinbjörn Kolbeinsson; Jukka-Pekka Onnela; Junwei Lu (TML4H, 2023)

Generative models for wearables data. - Arinbjörn Kolbeinsson; Luca Foschini 002 (CoRR, 2023)

Composable Interventions for Language Models. - Arinbjörn Kolbeinsson; Kyle O'Brien; Tianjin Huang; Shanghua Gao; Shiwei Liu 003; Jonathan Richard Schwarz; Anurag Jayant Vaidya; Faisal Mahmood 001; Marinka Zitnik; Tianlong Chen 001; Thomas Hartvigsen (ICLR, 2025)

Adversarial Negotiation Dynamics in Generative Language Models. - Arinbjörn Kolbeinsson; Benedikt Kolbeinsson (CoRR, 2025)